Compile With Torch Use Cuda Dsa To Enable Device Side Assertions

Compile With Torch Use Cuda Dsa To Enable Device Side Assertions. [BUG] 运行 train_prompts.py prompts.csv strategy naive 失败 · Issue 2968 · hpcaitech/ColossalAI return torch.cuda.cudart().cudaMemGetInfo(device) RuntimeError: CUDA error: the launch timed out and was terminated Compile with TORCH_USE_CUDA_DSA to enable device-side assertions RuntimeError: CUDA error: device-side assert triggered CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect

I have the following piece of code in my code snippet, which I believe should enable device-side assertions For debugging consider passing CUDA_LAUNCH_BLOCKING=1 Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

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Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions By compiling your code with the `torch_use_cuda_dsa` flag, you can enable device-side assertions that will catch errors that would otherwise be missed by the host-side. 文章浏览阅读1k次，点赞3次，收藏2次。在使用PyTorch进行深度学习模型训练时，尤其是依赖GPU加速的情况下，偶尔会遇到一些与CUDA相关的错误提示。最近我在训练模型时，就碰到了一个这样的报错：Compile with 'TORCH_USE_CUDA_DSA' to enable device-side assertions.这个错误是在调用进行反向传播时触发的。

"TORCH_USE_CUDA_BSA" · Issue 672 · wokada/voicechanger · GitHub. import os os.environ['CUDA_LAUNCH_BLOCKING']="1" os.environ['TORCH_USE_CUDA_DSA'] = "1" CUDA error: no kernel image is available for execution on the device CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect

pytorch CUDA error deviceside assert triggered CUDA kernel errors might be asynchronously. when using the CUDA_LAUNCH_BLOCKING=1 (CUDA_LAUNCH_BLOCKING=1 python train.py --model_def config/yolov3-custom.cfg --data_config config/custom.data) I get This Error: ''' CUDA_LAUNCH_BLOCKING=1 : The term 'CUDA_LAUNCH_BLOCKING=1' is not recognized as the name of a cmdlet, function, script file, or operable program. For debugging consider passing CUDA_LAUNCH_BLOCKING=1 Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.